| On pearl’s hierarchy and the foundations of causal inference E Bareinboim, JD Correa, D Ibeling, T Icard Probabilistic and Causal Inference: The Works of Judea Pearl, 507-556, 2022 | 228 | 2022 |
| A calculus for stochastic interventions: Causal effect identification and surrogate experiments J Correa, E Bareinboim Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020 | 80 | 2020 |
| General Identifiability with Arbitrary Surrogate Experiments S Lee, JD Correa, E Bareinboim Proceedings of Thirty-fifth Conference on Uncertainty in Artificial …, 2019 | 78 | 2019 |
| Generalized adjustment under confounding and selection biases J Correa, J Tian, E Bareinboim Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 40 | 2018 |
| General Transportability–Synthesizing Observations and Experiments from Heterogeneous Domains S Lee, J Correa, E Bareinboim Proceedings of the AAAI Conference on Artificial Intelligence 34 (06), 10210 …, 2020 | 39 | 2020 |
| Causal effect identification by adjustment under confounding and selection biases J Correa, E Bareinboim Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 39 | 2017 |
| Nested counterfactual identification from arbitrary surrogate experiments J Correa, S Lee, E Bareinboim Advances in Neural Information Processing Systems 34, 6856-6867, 2021 | 32 | 2021 |
| General transportability of soft interventions: Completeness results J Correa, E Bareinboim Advances in Neural Information Processing Systems 33, 10902-10912, 2020 | 23 | 2020 |
| From Statistical Transportability to Estimating the Effect of Stochastic Interventions JD Correa, E Bareinboim IJCAI-19, 2019 | 23 | 2019 |
| Identification of causal effects in the presence of selection bias JD Correa, J Tian, E Bareinboim Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2744-2751, 2019 | 22 | 2019 |
| On pearl’s hierarchy and the foundations of causal inference E Bareinboim, JD Correa, D Ibeling, T Icard Technical report, Technical Report, 2020 | 10* | 2020 |
| Adjustment Criteria for Generalizing Experimental Findings JD Correa, J Tian, E Bareinboim International Conference on Machine Learning, 1361-1369, 2019 | 10 | 2019 |
| Counterfactual Transportability: A Formal Approach JD Correa, S Lee, E Bareinboim International Conference on Machine Learning, 4370-4390, 2022 | 4 | 2022 |
| Identifiability from a Combination of Observations and Experiments S Lee, JD Correa, E Bareinboim Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020 | 3 | 2020 |
| A Computational Perspective of Causal Inference and the Data Fusion Problem JD Correa Columbia University, 2021 | | 2021 |
| Generalized transportability: Synthesis of experiments from heterogeneous domains S Lee, J Correa, E Bareinboim Proceedings of the 34th AAAI Conference on Artificial Intelligence, 2020 | | 2020 |
| Computación Grid Aplicada. Sistemas de Computación de E-Learning sobre Grid AL Uribe Hurtado, LF Castillo Ossa, H Quiceno, JI Meza, JD Correa e-colabora" Revista de ciencia, educación, innovación y cultura apoyadas por …, 2012 | | 2012 |
| Grid Computing and CBR Deployment: Monitoring Principles for a Suitable Engagement LF Castillo, G Isaza, MG Bedia, M Aguilera, JD Correa Distributed Computing and Artificial Intelligence: 9th International …, 2012 | | 2012 |
| Cabo, José A. 229 Cai, Li 453 A Abdullah, K Abe, M Aguilera, M Akiyoshi, T Alamos, J Alonso, ... Distributed Computing and Artificial Intelligence, 775, 0 | | |
Elias BareinboimColumbia UniversityVerified email at columbia.edu
